|
|
|
|
|
Xiaogang Chen, Qi Ye, Jinzhou Du and Jing Zhang
Nutrients and organic pollutants transported by submarine groundwater discharge (SGD) play a significant role in controlling water quality, and can lead to the concerned deleterious effects on marine ecosystems. Subterranean estuaries are complicated hab...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eduardo Lérias, Cristina Guerra and Paulo Ferreira
The growing impact of artificial intelligence (AI) on Humanity is unavoidable, and therefore, ?AI literacy? is extremely important. In the field of education?AI in education (AIED)?this technology is having a huge impact on the educational community and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Li, Yamin Wu, Houqiao Wang, Junjie He, Qiaomei Wang, Jiayi Xu, Yuxin Xia, Wenxia Yuan, Shuyi Chen, Lin Tao, Xinghua Wang and Baijuan Wang
To investigate the variation in flavonoids content in ancient tree sun?dried green tea under abiotic stress environmental conditions, this study determined the flavonoids content in ancient tree sun-dried green tea and analyzed its correlation with corre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Torrey Wagner, Dennis Guhl and Brent Langhals
Given the emergence of China as a political and economic power in the 21st century, there is increased interest in analyzing Chinese news articles to better understand developing trends in China. Because of the volume of the material, automating the cate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anibal Pedraza, Lucia Gonzalez, Oscar Deniz and Gloria Bueno
HER2 overexpression is a prognostic and predictive factor observed in about 15% to 20% of breast cancer cases. The assessment of its expression directly affects the selection of treatment and prognosis. The measurement of HER2 status is performed by an e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tanja Verster and Erika Fourie
The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning. As ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Melia Putri Handayani, Hyunju Kim, Sangbong Lee and Jihwan Lee
In the maritime industry, optimizing vessel fuel oil consumption is crucial for improving energy efficiency and reducing shipping emissions. However, effectively utilizing operational data to advance performance monitoring and optimization remains a chal...
ver más
|
|
|
|
|
|
|
|
|
|
|
James T. E. Chapman and Ajit Desai
This paper assesses the usefulness of comprehensive payments data for macroeconomic predictions in Canada. Specifically, we evaluate which type of payments data are useful, when they are useful, why they are useful, and whether machine learning (ML) mode...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruliang Lin, Lijing Huang, Zhiwen Liu, Xuehua Zhou and Zhiguo Zhou
Sixty percent of the failures of launch vehicles in the ascending phase occur in the propulsion system. Among them, the vibration generated by the engine is an important factor in the occurrence of failure. At present, health assessment methods in the ae...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liwei Zhang, Weiguo Zhang, Zaiquan Wang, Sijia Liu and Kai Liu
Dynamic risk assessment is a pivotal tool for enhancing construction safety and minimizing the potential for partial failure during deep and extensive excavation projects. To enhance the efficacy of dynamic risk assessment in deep excavation, this study ...
ver más
|
|
|
|
|
|